An AI Employee for Engineering
A night shift for your codebase: bugs fixed, tests written, docs kept current, all waiting for your review by morning. Here is what an AI engineer does, and where you stay in the loop.
You do not need another seat on the payroll. You need a engineering teammate that never sleeps, never forgets, and costs less than lunch. With Summon, you are the board and your engineering employee is AI: it does the work around the clock, inside a budget you set, and anything that touches the outside world waits for your approval.
What an AI Engineering employee does
- Fixes bugs and ships small features against the tasks you write.
- Writes and updates tests so changes do not quietly break things.
- Reviews code and flags risky changes before they land.
- Handles the refactors and cleanups that never make the top of the list.
- Keeps documentation current as the code moves.
What stays with you
Merging to production and any infrastructure spend. It opens the work for review; you decide what ships. Summon employees are approval-gated by default: they draft freely, but every outward action lands in a decisions queue for your yes or no. Because the whole thing runs on a budget cap, the downside is bounded.
What it costs
- Founding seat: $500 per month. All eight departments staffed, not one employee, and not one person's salary.
- Included in the seat. A full company diagnosis, your AI org chart, and your first 10 deliverables plated in week one. First plated deliverable within 7 days or your first month back. Cancel anytime.
Hire your AI Engineering employee
Start with the one role that is your bottleneck this month. You do not buy this employee on its own: the founding seat is $500 per month and staffs all eight departments, including a full company diagnosis, your AI org chart, and your first 10 deliverables plated in week one.
Claim a founding seat, $500/moFirst plated deliverable within 7 days or your first month back. 15 minutes a week from you. Cancel anytime.
Frequently asked questions
Can the AI deploy to production without me?
No. Merges and deploys are approval-gated, and every department runs inside a budget cap. The downside is bounded by design.
What size of work is this good for?
Well-scoped tasks: a bug, a small feature, a test suite, a refactor, a doc update. You write the task; it does the work and hands it back for review.
How is this different from ChatGPT?
ChatGPT answers one prompt at a time. Summon gives you a standing engineering teammate with a task board, a budget, and approvals, and the work continues after you close the tab.